This is the released version of supersigs; for the devel version, see supersigs.
Supervised mutational signaturesBioconductor version: Release (3.21)
Generate SuperSigs (supervised mutational signatures) from single nucleotide variants in the cancer genome. Functions included in the package allow the user to learn supervised mutational signatures from their data and apply them to new data. The methodology is based on the one described in Afsari (2021, ELife).
Author: Albert Kuo [aut, cre] ORCID: 0000-0001-5155-0748 , Yifan Zhang [aut], Bahman Afsari [aut], Cristian Tomasetti [aut]
Maintainer: Albert Kuo <albertkuo at jhu.edu>
Citation (from within R, entercitation("supersigs")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("supersigs")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("supersigs")
Details biocViews Classification, FeatureExtraction, Regression, Sequencing, Software, SomaticMutation, WholeGenome Version 1.16.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License GPL-3 Depends R (>= 4.1) Imports assertthat, caret, dplyr, tidyr, rsample, methods, rlang, utils, Biostrings, stats, SummarizedExperiment System Requirements URL https://tomasettilab.github.io/supersigs/ Bug Reports https://github.com/TomasettiLab/supersigs/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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